T SNE - Learn Data Science with Travis

t-SNE Python Example

Towards Data Science

t-Distributed Stochastic Neighbor Embedding (t-SNE) is a dimensionality reduction technique used to represent high-dimensional dataset in a low-dimensional space of two or three dimensions so that we…...

T-SNE (Geometric Intuition)

Analytics Vidhya

T-SNE stands for geometric T distributed Stochastic Neighbourhood Embedding. This is one of the state of art for dimensionality reduction especially for visualization of data. T-SNE is one of the…

Understanding t-SNE by Implementation

Towards Data Science

How does t-SNE Work and How It Can be Implemented Image by author. In this blog post we will look into inner workings of the t-SNE algorithm, to clearly understand how it works, what it could be used...

Visualizing topic groups using t-SNE

Towards Data Science

t-SNE is a powerful approach commonly used to visualize high dimensional data. We used this technique to create visualizations of the core questions being asked in Zendesk Support instances.

Reducing data dimensions in a non-linear subspace: t-SNE

Analytics Vidhya

T-Distributed Stochastic Neighbor Embedding (t-SNE) is a prize-winning technique for non-linear dimensionality reduction that is particularly well suited for the visualization of high-dimensional…

Why You Are Using t-SNE Wrong

Towards Data Science

t-SNE has become a very popular technique for visualizing high dimensional data. It’s extremely common to take the features from an inner layer of a deep learning model and plot them in 2-dimensions…

How to Use t-SNE Effectively

Distill

Although extremely useful for visualizing high-dimensional data, t-SNE plots can sometimes be mysterious or misleading. By exploring how it behaves in simple cases, we can learn to use it more effecti...

How To Avoid Getting Misled by t-SNE Projections?

Daily Dose of Data Science

t-SNE is among the most powerful dimensionality reduction techniques to visualize high-dimensional datasets. In my experience, most folks have at least heard of the t-SNE algorithm. In fact, do you kn...

Using t-SNE for Movie Transcript Analysis

Python in Plain English

A Practical Guide Using Python In this article, we’ll explore a down-to-earth example of how to use t-SNE in Python to understand movie transcripts better. There are plenty of technical resources out...

Visualize multi-dimension datasets in a 2D graph using t-SNE (Airbnb bookings dataset as example)

Analytics Vidhya

First of all, what is t-SNE and when and why are we using it? It is an unsupervised and non-linear dimension reduction algorithm, people usually use it during exploratory data analysis, an early…

Using t-SNE for Data Visualisation

Analytics Vidhya

The purpose of this article is not to teach how t-SNE (t-distributed stochastic neighbor embedding) works, but how you could use it to help you visualising data. The main idea behind t-SNE is that it…...

tSNE simplified

Towards Data Science

Guys, to tell you the truth when I heard the name tSNE and the full form being t-distributed stochastic neighborhood embedding, I was scared. Gradually, I could find my way through the papers…